Wavelet analysis for handwritten Chinese character recognition

Author

Jun, Yang ; Songyu, Yu ; Rongchun, Zhao

Author_Institution

Inst. of Image Process. & Pattern Recognition, Shanghai Jiaotong Univ., China

Volume

2

fYear

1997

fDate

28-31 Oct 1997

Firstpage

1023

Abstract

Wavelet transforms allow us to decompose a function into a multiresolution hierarchy of localized frequency bands, so we can simultaneously analyze characters´ outline features at multiple levels of resolution. A new method for the recognition of handwritten Chinese characters based on wavelet transforms is introduced. We use the directional density vectors to preclassify the handwritten Chinese characters. The integration of the two methods provides a highly accurate and reliable recognition method

Keywords

document image processing; handwriting recognition; image classification; image resolution; optical character recognition; wavelet transforms; OCR; character classification; directional density vectors; handwritten Chinese character recognition; image resolution; localized frequency bands; multiresolution hierarchy; outline features; wavelet analysis; wavelet transforms; Character recognition; Fourier transforms; Frequency; Handwriting recognition; Optical character recognition software; Shape; Signal resolution; Wavelet analysis; Wavelet transforms; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4253-4

Type

conf

DOI

10.1109/ICIPS.1997.669130

Filename

669130